most citedExtract-Transform-Load for Video Streams

15 citations · 33 across the 7 of their papers we have counts for

collaborators

7 papers

cs.DB2023★ 15 cited

Extract-Transform-Load for Video Streams

Ferdinand Kossmann, Ziniu Wu, Eugenie Lai +4

Social media, self-driving cars, and traffic cameras produce video streams at large scales and cheap cost. However, storing and querying video at such scales is prohibitively expen…

cs.DB2023★ 11 cited

VerifAI: Verified Generative AI

Nan Tang, Chenyu Yang, Ju Fan +3

Generative AI has made significant strides, yet concerns about the accuracy and reliability of its outputs continue to grow. Such inaccuracies can have serious consequences such as…

cs.LG2023

RoTaR: Efficient Row-Based Table Representation Learning via Teacher-Student Training

Zui Chen, Lei Cao, Sam Madden

We propose RoTaR, a row-based table representation learning method, to address the efficiency and scalability issues faced by existing table representation learning methods. The ke…

cs.CL2023★ 7 cited

Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation

Zihui Gu, Ju Fan, Nan Tang +7

Zero-shot NL2SQL is crucial in achieving natural language to SQL that is adaptive to new environments (e.g., new databases, new linguistic phenomena or SQL structures) with zero an…

cs.LG2023

RITA: Group Attention is All You Need for Timeseries Analytics

Jiaming Liang, Lei Cao, Samuel Madden +2

Timeseries analytics is of great importance in many real-world applications. Recently, the Transformer model, popular in natural language processing, has been leveraged to learn hi…

cs.DB2023

Lingua Manga: A Generic Large Language Model Centric System for Data Curation

Zui Chen, Lei Cao, Sam Madden

Data curation is a wide-ranging area which contains many critical but time-consuming data processing tasks. However, the diversity of such tasks makes it challenging to develop a g…

cs.LG2023

Interpretable Outlier Summarization

Yu Wang, Lei Cao, Yizhou Yan +1

Outlier detection is critical in real applications to prevent financial fraud, defend network intrusions, or detecting imminent device failures. To reduce the human effort in evalu…